The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-21"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "5102424 (up from 4996472 yesterday: 2.12 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "332924 (up from 328115 yesterday: 1.47 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.52



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1577147 25294 1.63 94702 1263 1.35 6.00
Russia 317554 8849 2.87 3099 127 4.27 0.98
Brazil 310087 18508 6.35 20047 1188 6.30 6.46
United Kingdom 252246 2627 1.05 36124 338 0.94 14.32
Spain 233037 482 0.21 27940 52 0.19 11.99
Italy 228006 642 0.28 32486 156 0.48 14.25
France 181951 251 0.14 28218 83 0.30 15.51
Germany 179021 548 0.31 8203 59 0.72 4.58
Turkey 153548 961 0.63 4249 27 0.64 2.77
Iran 129341 2392 1.88 7249 66 0.92 5.60
India 118226 6198 5.53 3584 150 4.37 3.03
Peru 108769 4749 4.57 3148 124 4.10 2.89
China 84063 0 0.00 4638 0 0.00 5.52
Canada 82742 1167 1.43 6267 117 1.90 7.57
Saudi Arabia 65077 2532 4.05 351 12 3.54 0.54
Mexico 59567 2973 5.25 6510 420 6.90 10.93
Chile 57581 3964 7.39 589 45 8.27 1.02
Belgium 56235 252 0.45 9186 36 0.39 16.34
Pakistan 48091 2193 4.78 1017 32 3.25 2.11
Netherlands 44900 253 0.57 5794 27 0.47 12.90
Qatar 38651 1554 4.19 17 1 6.25 0.04
Ecuador 35306 452 1.30 2939 51 1.77 8.32
Belarus 33371 945 2.91 185 6 3.35 0.55
Sweden 32172 649 2.06 3871 40 1.04 12.03
Switzerland 30694 36 0.12 1898 6 0.32 6.18
Portugal 29912 252 0.85 1277 14 1.11 4.27
Singapore 29812 448 1.53 23 1 4.55 0.08
Bangladesh 28511 1773 6.63 408 22 5.70 1.43
United Arab Emirates 26898 894 3.44 237 4 1.72 0.88
Ireland 24391 76 0.31 1583 12 0.76 6.49
Indonesia 20162 973 5.07 1278 36 2.90 6.34
Poland 20143 404 2.05 972 10 1.04 4.83
Ukraine 19706 476 2.48 579 15 2.66 2.94
South Africa 19137 1134 6.30 369 30 8.85 1.93
Kuwait 18609 1041 5.93 129 5 4.03 0.69
Colombia 18330 643 3.64 652 22 3.49 3.56
Romania 17585 198 1.14 1156 9 0.78 6.57
Israel 16683 16 0.10 279 0 0.00 1.67
Japan 16424 57 0.35 777 9 1.17 4.73
Austria 16404 51 0.31 633 0 0.00 3.86
Egypt 15003 774 5.44 696 16 2.35 4.64
Dominican Republic 13657 180 1.34 448 2 0.45 3.28
Philippines 13434 213 1.61 846 4 0.48 6.30
Denmark 11380 65 0.57 561 7 1.26 4.93
Korea, South 11142 20 0.18 264 0 0.00 2.37
Serbia 10919 86 0.79 237 2 0.85 2.17
Panama 10116 139 1.39 291 4 1.39 2.88
Argentina 9931 648 6.98 416 13 3.23 4.19
Czechia 8754 33 0.38 306 2 0.66 3.50
Afghanistan 8676 531 6.52 193 6 3.21 2.22
Norway 8309 28 0.34 235 1 0.43 2.83
Bahrain 8174 286 3.63 12 0 0.00 0.15
Algeria 7728 186 2.47 575 7 1.23 7.44
Kazakhstan 7234 265 3.80 35 0 0.00 0.48
Morocco 7211 78 1.09 196 2 1.03 2.72
Australia 7095 14 0.20 101 1 1.00 1.42
Malaysia 7059 50 0.71 114 0 0.00 1.61
Nigeria 7016 339 5.08 211 11 5.50 3.01
Moldova 6704 151 2.30 233 5 2.19 3.48
Finland 6493 50 0.78 306 2 0.66 4.71
Oman 6370 327 5.41 31 1 3.33 0.49
Ghana 6269 0 0.00 31 0 0.00 0.49
Armenia 5606 335 6.36 70 3 4.48 1.25
Bolivia 5187 268 5.45 215 16 8.04 4.14
Cameroon 4288 555 14.87 156 10 6.85 3.64
Luxembourg 3980 9 0.23 109 0 0.00 2.74
Iraq 3877 153 4.11 140 6 4.48 3.61
Azerbaijan 3749 118 3.25 44 1 2.33 1.17
Hungary 3641 43 1.20 473 3 0.64 12.99
Honduras 3204 249 8.43 156 9 6.12 4.87
Sudan 3138 410 15.03 121 10 9.01 3.86
Guinea 3067 204 7.13 18 0 0.00 0.59
Thailand 3037 3 0.10 56 0 0.00 1.84
Uzbekistan 2964 25 0.85 13 0 0.00 0.44
Greece 2853 3 0.11 168 2 1.20 5.89
Senegal 2812 98 3.61 33 3 10.00 1.17
Guatemala 2512 247 10.91 48 3 6.67 1.91
Bosnia and Herzegovina 2350 12 0.51 140 4 2.94 5.96
Tajikistan 2350 210 9.81 44 3 7.32 1.87
Bulgaria 2331 39 1.70 120 4 3.45 5.15
Cote d’Ivoire 2301 70 3.14 29 0 0.00 1.26
Croatia 2237 3 0.13 97 1 1.04 4.34
Djibouti 2047 219 11.98 10 1 11.11 0.49
Cuba 1908 8 0.42 80 1 1.27 4.19
North Macedonia 1898 40 2.15 111 1 0.91 5.85
Congo (Kinshasa) 1835 104 6.01 61 0 0.00 3.32
Iceland 1803 0 0.00 10 0 0.00 0.55
Estonia 1800 6 0.33 64 0 0.00 3.56
El Salvador 1640 69 4.39 33 2 6.45 2.01
Somalia 1594 21 1.34 61 0 0.00 3.83
Lithuania 1593 16 1.01 61 1 1.67 3.83
Gabon 1567 0 0.00 12 0 0.00 0.77
New Zealand 1504 1 0.07 21 0 0.00 1.40
Slovakia 1502 6 0.40 28 0 0.00 1.86
Slovenia 1468 0 0.00 106 1 0.95 7.22
Kyrgyzstan 1313 43 3.39 14 0 0.00 1.07
Maldives 1216 30 2.53 4 0 0.00 0.33
Guinea-Bissau 1109 20 1.84 6 0 0.00 0.54
Kenya 1109 80 7.77 50 0 0.00 4.51
Sri Lanka 1055 27 2.63 9 0 0.00 0.85
Tunisia 1046 1 0.10 47 0 0.00 4.49
Latvia 1025 9 0.89 22 1 4.76 2.15
Lebanon 1024 63 6.56 26 0 0.00 2.54
Kosovo 1003 14 1.42 29 0 0.00 2.89

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 356458 2088 0.59 28743 107 0.37 8.06 18323.53 1477.52 1 in 55
New Jersey 151586 810 0.54 10846 97 0.90 7.16 17066.29 1221.10 1 in 59
Illinois 102688 2270 2.26 4607 82 1.81 4.49 8103.65 363.56 1 in 123
Massachusetts 90084 1114 1.25 6148 82 1.35 6.82 12962.65 884.67 1 in 77
California 88031 2034 2.37 3583 86 2.46 4.07 2227.94 90.68 1 in 449
Pennsylvania 69252 1126 1.65 4869 99 2.08 7.03 5409.47 380.33 1 in 185
Michigan 53510 501 0.95 5129 69 1.36 9.59 5358.04 513.57 1 in 187
Texas 53053 1380 2.67 1460 34 2.38 2.75 1829.67 50.35 1 in 547
Florida 48675 1204 2.54 2144 48 2.29 4.40 2266.30 99.82 1 in 441
Maryland 43531 1208 2.85 2159 36 1.70 4.96 7200.35 357.11 1 in 139
Georgia 40663 862 2.17 1775 78 4.60 4.37 3829.84 167.18 1 in 261
Connecticut 39208 191 0.49 3583 54 1.53 9.14 10997.15 1004.97 1 in 91
Louisiana 36504 1188 3.36 2629 21 0.81 7.20 7852.36 565.52 1 in 127
Virginia 34137 1229 3.73 1100 25 2.33 3.22 3999.41 128.87 1 in 250
Ohio 30167 731 2.48 1837 56 3.14 6.09 2580.78 157.15 1 in 387
Indiana 29936 662 2.26 1913 49 2.63 6.39 4446.68 284.16 1 in 225
Colorado 23191 394 1.73 1310 11 0.85 5.65 4027.10 227.48 1 in 248
North Carolina 20512 250 1.23 728 2 0.28 3.55 1955.74 69.41 1 in 511
Washington 19117 146 0.77 1044 7 0.68 5.46 2510.48 137.10 1 in 398
Tennessee 18961 549 2.98 313 8 2.62 1.65 2774.85 45.81 1 in 360
Minnesota 18200 530 3.00 818 32 4.07 4.49 3227.16 145.04 1 in 310
Iowa 16170 550 3.52 410 17 4.33 2.54 5125.08 129.95 1 in 195
Arizona 15348 442 2.97 764 17 2.28 4.98 2015.52 100.33 1 in 496
Wisconsin 13885 472 3.52 487 6 1.25 3.51 2384.74 83.64 1 in 419
Rhode Island 13571 215 1.61 556 18 3.35 4.10 12810.55 524.84 1 in 78
Alabama 13288 236 1.81 529 7 1.34 3.98 2710.08 107.89 1 in 369
Mississippi 12222 255 2.13 580 10 1.75 4.75 4106.65 194.88 1 in 244
Missouri 11689 161 1.40 668 28 4.38 5.71 1904.54 108.84 1 in 525
Nebraska 11427 305 2.74 138 0 0.00 1.21 5907.23 71.34 1 in 169
South Carolina 9381 206 2.25 416 9 2.21 4.43 1822.01 80.80 1 in 549
Kansas 8625 118 1.39 204 2 0.99 2.37 2960.55 70.02 1 in 338
Delaware 8386 192 2.34 317 7 2.26 3.78 8611.94 325.54 1 in 116
Kentucky 8286 119 1.46 386 10 2.66 4.66 1854.66 86.40 1 in 539
Utah 7874 164 2.13 92 2 2.22 1.17 2456.05 28.70 1 in 407
District of Columbia 7788 237 3.14 412 5 1.23 5.29 11035.08 583.78 1 in 91
Nevada 7400 12 0.16 383 6 1.59 5.18 2402.48 124.34 1 in 416
New Mexico 6472 155 2.45 294 11 3.89 4.54 3086.57 140.21 1 in 324
Oklahoma 5680 148 2.68 304 5 1.67 5.35 1435.44 76.83 1 in 697
Arkansas 5458 455 9.09 110 3 2.80 2.02 1808.59 36.45 1 in 553
South Dakota 4177 0 0.00 48 2 4.35 1.15 4721.59 54.26 1 in 212
New Hampshire 3935 67 1.73 199 9 4.74 5.06 2894.00 146.35 1 in 346
Oregon 3817 16 0.42 145 1 0.69 3.80 904.99 34.38 1 in 1105
Puerto Rico 2913 47 1.64 126 1 0.80 4.33 912.11 39.45 1 in 1096
Idaho 2506 0 0.00 77 0 0.00 3.07 1398.39 42.97 1 in 715
North Dakota 2229 134 6.40 51 2 4.08 2.29 2924.96 66.92 1 in 342
Maine 1877 58 3.19 73 0 0.00 3.89 1396.36 54.31 1 in 716
West Virginia 1593 26 1.66 70 1 1.45 4.39 891.36 39.17 1 in 1122
Vermont 950 6 0.64 54 0 0.00 5.68 1522.46 86.54 1 in 657
Wyoming 801 14 1.78 12 1 9.09 1.50 1384.00 20.73 1 in 723
Hawaii 647 4 0.62 17 0 0.00 2.63 456.96 12.01 1 in 2188
Montana 479 1 0.21 16 0 0.00 3.34 448.18 14.97 1 in 2231
Alaska 401 0 0.00 10 0 0.00 2.49 548.15 13.67 1 in 1824

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1555055 356458 22.92 79936.78
New Jersey 544274 151586 27.85 61277.00
Illinois 672020 102688 15.28 53032.63
Massachusetts 501486 90084 17.96 72161.42
California 1421127 88031 6.19 35966.77
Pennsylvania 368906 69252 18.77 28816.30
Michigan 454740 53510 11.77 45533.85
Texas 770241 53053 6.89 26563.81
Florida 813929 48675 5.98 37896.40
Maryland 220233 43531 19.77 36428.16
Georgia 407731 40663 9.97 38402.07
Connecticut 202747 39208 19.34 56866.95
Louisiana 305381 36504 11.95 65690.37
Virginia 218599 34137 15.62 25610.51
Ohio 299078 30167 10.09 25586.06
Indiana 202995 29936 14.75 30152.76
Colorado 135611 23191 17.10 23548.74
North Carolina 290645 20512 7.06 27711.93
Washington 297942 19117 6.42 39126.22
Tennessee 360583 18961 5.26 52769.47
Minnesota 173556 18200 10.49 30774.35
Iowa 116565 16170 13.87 36945.30
Arizona 171627 15348 8.94 22538.33
Wisconsin 177123 13885 7.84 30420.78
Rhode Island 123367 13571 11.00 116454.16
Alabama 170739 13288 7.78 34822.06
Mississippi 125970 12222 9.70 42326.51
Missouri 162092 11689 7.21 26410.41
Nebraska 75640 11427 15.11 39102.40
South Carolina 138238 9381 6.79 26849.03
Kansas 71203 8625 12.11 24440.55
Delaware 47542 8386 17.64 48822.92
Kentucky 158672 8286 5.22 35515.58
Utah 182874 7874 4.31 57041.92
District of Columbia 41756 7788 18.65 59165.51
Nevada 94382 7400 7.84 30641.95
New Mexico 147344 6472 4.39 70269.92
Oklahoma 149595 5680 3.80 37805.43
Arkansas 99276 5458 5.50 32896.54
South Dakota 31301 4177 13.34 35381.99
New Hampshire 52830 3935 7.45 38853.84
Oregon 105224 3817 3.63 24947.98
Puerto Rico 2913 2913 100.00 912.11
Idaho 38888 2506 6.44 21700.11
North Dakota 61279 2229 3.64 80412.09
Maine 37327 1877 5.03 27768.69
West Virginia 83141 1593 1.92 46521.63
Vermont 25701 950 3.70 41188.23
Wyoming 18840 801 4.25 32552.41
Hawaii 47149 647 1.37 33300.33
Montana 30524 479 1.57 28559.72
Alaska 39545 401 1.01 54056.82

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 41642 2345 5.97 11726 28.16 28462 1454 64 4.60 3.49
Tamil Nadu 13967 776 5.88 6282 44.98 7590 95 7 7.95 0.68
Gujarat 12910 371 2.96 5488 42.51 6649 773 24 3.20 5.99
Delhi 11659 571 5.15 5567 47.75 5898 194 18 10.23 1.66
Rajasthan 6227 212 3.52 3485 55.97 2591 151 4 2.72 2.42
Madhya Pradesh 5981 246 4.29 2844 47.55 2866 271 4 1.50 4.53
Uttar Pradesh 5515 340 6.57 3204 58.10 2173 138 11 8.66 2.50
West Bengal 3197 94 3.03 1193 37.32 1745 259 6 2.37 8.10
Andhra Pradesh 2605 45 1.76 1705 65.45 846 54 1 1.89 2.07
Punjab 2028 23 1.15 1819 89.69 170 39 1 2.63 1.92
Bihar 1987 380 23.65 571 28.74 1407 9 0 0.00 0.45
Telangana 1699 38 2.29 1036 60.98 618 45 7 18.42 2.65
State Unassigned 1620 217 15.47 0 0.00 1620 0 0 NaN 0.00
Karnataka 1605 143 9.78 571 35.58 992 41 0 0.00 2.55
Jammu and Kashmir 1449 59 4.24 684 47.20 745 20 2 11.11 1.38
Odisha 1103 51 4.85 393 35.63 703 7 1 16.67 0.63
Haryana 1031 38 3.83 681 66.05 336 14 0 0.00 1.36
Kerala 691 24 3.60 510 73.81 177 4 0 0.00 0.58
Jharkhand 308 18 6.21 136 44.16 169 3 0 0.00 0.97
Chandigarh 218 16 7.92 178 81.65 37 3 0 0.00 1.38
Assam 211 22 11.64 55 26.07 149 4 0 0.00 1.90
Tripura 175 2 1.16 148 84.57 27 0 0 NaN 0.00
Himachal Pradesh 152 42 38.18 55 36.18 90 4 0 0.00 2.63
Uttarakhand 146 24 19.67 53 36.30 92 1 0 0.00 0.68
Chhattisgarh 132 18 15.79 59 44.70 73 0 0 NaN 0.00
Goa 52 2 4.00 7 13.46 45 0 0 NaN 0.00
Ladakh 44 0 0.00 43 97.73 1 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Manipur 25 0 0.00 2 8.00 23 0 0 NaN 0.00
Puducherry 23 0 0.00 10 43.48 13 0 0 NaN 0.00
Meghalaya 14 0 0.00 12 85.71 1 1 0 0.00 7.14
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 622565 86091 316 0.37 13.83 4119 226 26715 15727 18.27
Piemonte 271286 29990 105 0.35 11.05 1479 83 8710 3742 12.48
Emilia-Romagna 278917 27417 53 0.19 9.83 592 92 4926 4025 14.68
Veneto 548573 19038 8 0.04 3.47 237 15 3286 1841 9.67
Toscana 218615 10000 18 0.18 4.57 169 41 1877 1004 10.04
Liguria 87011 9344 55 0.59 10.74 283 22 2075 1397 14.95
Lazio 222071 7558 25 0.33 3.40 1110 68 3637 662 8.76
Marche 91885 6689 12 0.18 7.28 111 16 1832 990 14.80
Campania 155842 4723 9 0.19 3.03 312 9 1373 403 8.53
Puglia 97589 4413 6 0.14 4.52 236 20 1839 478 10.83
P.A. Trento 73849 4378 10 0.23 5.93 40 6 66 455 10.39
Sicilia 127348 3417 6 0.18 2.68 107 11 1522 268 7.84
Friuli Venezia Giulia 111541 3215 6 0.19 2.88 72 2 578 323 10.05
Abruzzo 62161 3212 7 0.22 5.17 175 5 1272 391 12.17
P.A. Bolzano 57104 2587 0 0.00 4.53 50 5 250 291 11.25
Umbria 60471 1429 2 0.14 2.36 17 2 61 74 5.18
Sardegna 46795 1356 1 0.07 2.90 64 12 318 127 9.37
Valle d’Aosta 13261 1176 1 0.09 8.87 26 1 43 143 12.16
Calabria 59724 1156 0 0.00 1.94 47 1 326 96 8.30
Molise 12253 423 1 0.24 3.45 8 2 194 22 5.20
Basilicata 24537 394 1 0.25 1.61 15 1 60 27 6.85

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 45504 720 1.61 3801 82 2.20 8.35 5329.79 445.20 1 in 188
Ontario 25595 398 1.58 2106 27 1.30 8.23 1739.76 143.15 1 in 575
Alberta 6768 33 0.49 132 4 3.12 1.95 1533.60 29.91 1 in 652
British Columbia 2479 12 0.49 152 3 2.01 6.13 485.04 29.74 1 in 2062
Nova Scotia 1046 1 0.10 58 1 1.75 5.54 1070.12 59.34 1 in 934
Saskatchewan 622 2 0.32 7 0 0.00 1.13 526.38 5.92 1 in 1900
Manitoba 290 0 0.00 7 0 0.00 2.41 210.52 5.08 1 in 4750
Newfoundland and Labrador 260 0 0.00 3 0 0.00 1.15 498.69 5.75 1 in 2005
New Brunswick 121 1 0.83 0 0 NaN 0.00 155.13 0.00 1 in 6446
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1590 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1055 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 666 7 1.05
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 216 1 0.46
Shanxi 198 0 0.00
Tianjin 192 3 1.56
Yunnan 185 2 1.08
Hainan 169 6 3.55
Jilin 151 2 1.32
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 4820.13 289.43 1 in 207
Russia 2197.61 21.45 1 in 455
Brazil 1481.54 95.78 1 in 675
United Kingdom 3796.60 543.71 1 in 263
Spain 4994.36 598.80 1 in 200
Italy 3769.94 537.14 1 in 265
France 2716.09 421.23 1 in 368
Germany 2162.35 99.08 1 in 462
Turkey 1900.11 52.58 1 in 526
Iran 1593.65 89.32 1 in 627
India 88.29 2.68 1 in 11326
Peru 3381.07 97.86 1 in 296
China 60.65 3.35 1 in 16488
Canada 2201.17 166.72 1 in 454
Saudi Arabia 1975.62 10.66 1 in 506
Mexico 461.04 50.39 1 in 2169
Chile 3190.08 32.63 1 in 313
Belgium 4932.89 805.79 1 in 203
Pakistan 244.12 5.16 1 in 4096
Netherlands 2613.50 337.25 1 in 383

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 195675 21003 10.73
Cook Illinois 67551 3114 4.61
Los Angeles California 42037 2016 4.80
Nassau New York 39487 2073 5.25
Suffolk New York 38553 1802 4.67
Westchester New York 32673 1313 4.02
Philadelphia Pennsylvania 20700 1178 5.69
Middlesex Massachusetts 19930 1478 7.42
Wayne Michigan 19538 2313 11.84
Hudson New Jersey 18880 1121 5.94
Bergen New Jersey 17583 1508 8.58
Suffolk Massachusetts 17089 813 4.76
Essex New Jersey 16980 1579 9.30
Miami-Dade Florida 16367 602 3.68
Passaic New Jersey 15497 864 5.58
Union New Jersey 15176 1005 6.62
Middlesex New Jersey 15057 921 6.12
Fairfield Connecticut 14751 1180 8.00
Essex Massachusetts 13063 831 6.36
Rockland New York 12877 611 4.74
Prince George’s Maryland 12830 466 3.63
New Haven Connecticut 10663 874 8.20
Harris Texas 10283 216 2.10
Providence Rhode Island 10160 0 0.00
Orange New York 10092 428 4.24
Worcester Massachusetts 9997 640 6.40
Hartford Connecticut 9299 1133 12.18
Montgomery Maryland 9260 528 5.70
Marion Indiana 8815 518 5.88
Fairfax Virginia 8580 309 3.60
Dallas Texas 8273 203 2.45
Ocean New Jersey 8214 661 8.05
Oakland Michigan 8125 945 11.63
Maricopa Arizona 7835 361 4.61
District of Columbia District of Columbia 7788 412 5.29
Norfolk Massachusetts 7691 759 9.87
Monmouth New Jersey 7637 537 7.03
King Washington 7630 539 7.06
Plymouth Massachusetts 7366 487 6.61
Jefferson Louisiana 7175 432 6.02
Lake Illinois 7128 237 3.32
Orleans Louisiana 6904 500 7.24
Broward Florida 6514 286 4.39
DuPage Illinois 6471 332 5.13
Macomb Michigan 6420 772 12.02
Riverside California 6343 284 4.48
Bristol Massachusetts 6286 345 5.49
Montgomery Pennsylvania 6268 607 9.68
Mercer New Jersey 6205 438 7.06
Morris New Jersey 6155 583 9.47

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc